Analysis of Activity Location and Trip Mode Choice – A Study on Hierarchical Ordering | Zendy

Gozde Ozonder | Zendy; Eric J. Miller | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Analysis of Activity Location and Trip Mode Choice – A Study on Hierarchical Ordering

Author(s) -

Gozde Ozonder,

Eric J. Miller

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.04.099

Subject(s) - nested logit , computer science , mode (computer interface) , logit , mode choice , operations research , travel behavior , work (physics) , logistic regression , simulation , machine learning , transport engineering , econometrics , human–computer interaction , mathematics , public transport , mechanical engineering , engineering

This paper focusses on preliminary analyses conducted to investigate the hierarchical decision-making structure of location and mode choice problems for non-work/school activities. The travel behaviour of two streams of individuals are studied separately. Nested logit models are tested using full information maximum likelihood method after estimating independent models for location and mode choice. The results show that individuals are more inclined to change their destination rather than their mode. The architectural framework of TASHA, the operational agent-based activity-based travel demand model of the Greater Toronto and Hamilton Area, will be redesigned in the light of these results and further analyses.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research